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Virginia Tech

Design and Evaluation of Spatialized 2D Computational Notebooks for Data Science

Abstract

dc:description.abstract

Computational notebooks are a popular tool for data science due to their ability to interleave text documentation, code, and results, including visuals, into a computational narrative. However, they have certain limitations which may be caused or exacerbated by the linear, top-down, 1D organization of cells within them. This dissertation explores and evaluates the potential of nonlinear computational notebooks to address issues with current linear computational notebooks, such as inefficient use of larger display spaces, and improve on the state of computational notebooks generally for data science. In this dissertation, we performed several studies aimed at exploring and evaluating the potential of spatialized 2D computational notebooks. We found in our first study several patterns of nonlinearity in data science work with computational notebooks and evaluated how problematic each pattern is. The second study found that users would utilize 2D space to organize computational notebook cells and discovered several patterns of organization. The third study showcased how comparative analysis can be more efficient and easier in well-designed spatialized 2D computational notebooks. The final study found that freeform spatialized 2D computational notebooks were seen as more usable than linear computational notebooks. Overall, our studies helped begin the work of expanding computational notebooks beyond their current linear mold.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Computer Science & Applications
Department dc:contributor.department
Computer Science and#38; Applications
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Harden, Jesse Maguire
Chair dc:contributor.committeechair
  • North, Christopher L.
Committee members dc:contributor.committeemember
  • Bowman, Douglas A.
  • McCrickard, Donald Scott
  • Yang, Yalong
  • Belcaid, Mahdi

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:44382
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/136918

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Harden, Jesse Maguire. Design and Evaluation of Spatialized 2D Computational Notebooks for Data Science. doctoral thesis, Virginia Tech, 2025. https://hdl.handle.net/10919/136918